docs: def fromexample(name=None, engine=None):
      """
      Load example series data.
  
      Data are downloaded from S3, so this method requires an internet connection.
  
      Parameters
      ----------
      name : str
          Name of dataset, options include 'iris' | 'mouse' | 'fish'.
          If not specified will print options.
  
      engine : object, default = None
          Computational engine (e.g. a SparkContext for Spark)
      """
      import os
      import tempfile
      import shutil
      from boto.s3.connection import S3Connection
  
      datasets = ['iris', 'mouse', 'fish']
  
      if name is None:
          print('Availiable example series datasets')
          for d in datasets:
              print('- ' + d)
          return
  
      check_options(name, datasets)
  
      d = tempfile.mkdtemp()
  
      try:
          os.mkdir(os.path.join(d, 'series'))
          os.mkdir(os.path.join(d, 'series', name))
          conn = S3Connection(anon=True)
          bucket = conn.get_bucket('thunder-sample-data')
          for key in bucket.list(os.path.join('series', name) + '/'):
              if not key.name.endswith('/'):
                  key.get_contents_to_filename(os.path.join(d, key.name))
          data = frombinary(os.path.join(d, 'series', name), engine=engine)
  
          if spark and isinstance(engine, spark):
              data.cache()
              data.compute()
  
      finally:
          shutil.rmtree(d)
  
      return data